scholarly journals Proteomic Profiling in Ovarian Cancer

2009 ◽  
Vol 19 (Suppl 2) ◽  
pp. S2-S6 ◽  
Author(s):  
Geoffrey Kim ◽  
Lucas Minig ◽  
Elise C. Kohn

Objective:To describe the role of proteomic profiling in the diagnosis and treatment of ovarian cancer.Methods:We report a thorough review of the literature, ongoing trials, and our group's experience with proteomic profiling for early detection, recurrence, and treatment of ovarian cancer.Results/Conclusions:Ovarian cancer remains the deadliest gynecologic malignancy in the western world and is most often diagnosed at a rarely curable late stage. Novel applications of proteomic techniques, such as mass spectrometry, show promise in the quest for reliable multimodality screening programs for the early detection of ovarian cancer. Proteomic analysis of tissue samples has underscored the heterogeneity of this disease process. Development of validated assays that survey the genetic and/or proteomic makeup of an individual tumor will add greatly to the histological classification of the tumor and may lead to different treatment approaches tailored to the unique expression pattern of each individual patient. As novel agents that disrupt signal propagation develop, proteomic profiling by reverse-phase protein arrays can characterize the in-tumor efficacy of the agent by quantification of the changes in expression levels of activated proteins. Together, better understanding of the potential diagnostic and therapeutic targets followed with proof-of-target effect will lead to rational combinations of novel therapy and improve individual ovarian cancer patient outcome.

2008 ◽  
Vol 18 (Suppl 1) ◽  
pp. 1-6 ◽  
Author(s):  
C. M. Annunziata ◽  
N. Azad ◽  
A. S. Dhamoon ◽  
G. Whiteley ◽  
E. C. Kohn

Ovarian cancer presents a diagnostic challenge because of its subtle clinical presentation and elusive cell of origin. Two new technologies of proteomics have advanced the dissection of the underlying molecular signaling events and the proteomic characterization of ovarian cancer: mass spectrometry and protein array analysis. Mass spectrometry can provide a snapshot of a proteome in time and space, with sensitivity and resolution that may allow identification of the elusive “needle in the haystack” heralding ovarian cancer. Proteomic profiling of tumor tissue samples can survey molecular targets during treatment and quantify changes using reverse phase protein arrays generated from tumor samples captured by microdissection, lysed and spotted in serial dilutions for high-throughput analysis. This approach can be applied to identify the optimal biological dose of a targeted agent and to validate target to outcome link. The evolution of proteomic technologies has the capacity to advance rapidly our understanding of ovarian cancer at a molecular level and thus elucidate new directions for the treatment of this disease


2019 ◽  
Vol 18 (5) ◽  
pp. 865-875 ◽  
Author(s):  
Georgina D. Barnabas ◽  
Keren Bahar-Shany ◽  
Stav Sapoznik ◽  
Limor Helpman ◽  
Yfat Kadan ◽  
...  

2020 ◽  
Vol 30 (10) ◽  
pp. 5370-5373
Author(s):  
Rosemarie Forstner

Abstract Early detection is the only way to achieve a high cure rate in women with ovarian cancer. Unfortunately, to date, there is no effective strategy for early detection, despite rapidly emerging biomarkers. The low prevalence of ovarian cancer, low specificity and high rates of false positives have been limitations of screening programs. In the hands of experts, transvaginal sonography and MRI are effective tools to characterise ovarian masses. Currently, ongoing efforts in standardization of technique and analysis are likely to improve diagnostic capabilities in clinical routine, as well as the introduction of predictive risk models of malignancy. Radiomics and radiogenomics potentially offer a broad spectrum of complementary information in ovarian cancer diagnosis and treatment. Key Points • Transvaginal sonography and MRI are effective tools to characterise ovarian masses. • Standardisation of imaging technique and implementation of predictive models of risk of malignancy contribute to early detection of ovarian cancer.


2018 ◽  
Vol 1 (1) ◽  
pp. 32-36
Author(s):  
Eleazar Ndabarora ◽  
Dariya Mukamusoni ◽  
Clarte Ndikumasabo ◽  
Védaste Ngirinshuti

Cervical cancer is one of the leading causes of morbidity and mortality globally and in Sub-Saharan Africa in particular. There is evidence that early detection and early management of cases are the best strategies to prevent and control this health threat, since treatment of the later stages of the diseases are very expensive. The objectives of the review were: (1) to identify and review studies on the prevalence of cervical cancer and determinants of early detection in Sub-Saharan Africa, and (2) to recommend further studies and interventions based on the findings of this review. Extensive literature search was conducted using the MeSH terms. Articles on cervical cancer and/or determinants of early detection which fulfilled inclusion criteria were reviewed independently by three reviewers. The prevalence of cervical cancer in Sub-Saharan Africa is increasing. Although there are evidences that cervical cancer screening programs are practical and feasible even in resource-limited settings in Sub-Saharan Africa, there is a very low uptake of cervical cancer screening and there are key factors that need to be addressed in order to make these programs established and effective.


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